Incorporating distributed generation into distribution network planning: the challenges and opportunities for distribution network operators
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Date
2010Author
Wang, David Tse-Chi
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Abstract
Diversification of the energy mix is one of the main challenges in the energy agenda of
governments worldwide. Technology advances together with environmental concerns have
paved the way for the increasing integration of Distributed Generation (DG) seen over recent
years. Combined heat and power and renewable technologies are being encouraged and their
penetration in distribution networks is increasing. This scenario presents Distribution
Network Operators (DNOs) with several technical challenges in order to properly
accommodate DG developments. However, depending on various factors, such as location,
size, technology and robustness of the network, DG might also be beneficial to DNOs.
In this thesis, the impact of DG on network planning is analysed and the implications for
DNOs in incorporating DG within the network planning process are identified. In the first
part, various impacts of DG to the network, such as network thermal capacity release,
security of supply and on voltage, are quantified through network planning by using a
modified successive elimination method and voltage sensitivity analysis. The results would
potentially assist DNOs in assessing the possibilities and effort required to utilise
privately-owned DG to improve network efficiency and save investment. The quantified
values would also act as a fundamental element in deriving effective distribution network
charging schemes. In the second part, a novel balanced genetic algorithm is introduced as an
efficient means of tackling the problem of optimum network planning considering future
uncertainties. The approach is used to analyse the possibilities, potential benefits and
challenges to strategic network planning by considering the presence of DG in the future
when the characteristics of DG are uncertain.
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